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Helicobacter pylori activates μ‐calpain to cleave E‐cadherin in epithelial monolayers

2008· article· en· W2270168994 on OpenAlexafffund
Pamela M. J. O’Connor, Tamia K. Lapointe, André G. Buret

Bibliographic record

VenueThe FASEB Journal · 2008
Typearticle
Languageen
FieldImmunology and Microbiology
TopicGalectins and Cancer Biology
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsCalpainAdherens junctionBlotCadherinCagAHelicobacter pyloriMolecular biologyCell biologyProteasesChemistryBiologyCellBiochemistryEnzymeVirulence

Abstract

fetched live from OpenAlex

H.pylori (Hp) is a risk factor for gastritis, gastric ulcers, and adenocarcinoma. The ability of Hp to disrupt epithelial intercellular adhesion may influence disease severity. Disruption of adherens junction (AJ) protein E‐cadherin has a well‐established role in carcinogenesis. Calpain family proteases are upregulated in several types of adenocarcinoma and can cleave E‐cadherin to a functionally‐impaired 100kDa form. AIMS: 1) to determine the effects of Hp on calpains, 2) to assess the role of calpains in Hp‐induced AJ alterations. RESULTS: Epithelial (SCBN) monolayers challenged with Hp strain SS1 or 60190 for 24h had increased calpain activity and elevated levels of the cleaved form of the calpain substrate α‐spectrin, as determined by activity assay and immunoblotting. Immunoblotting for the μ and m calpain isoforms revealed that μ, but not m, calpain is activated in response to Hp. Immunostaining and western blotting of subcellular fractions revealed loss of membrane‐associated E‐cadherin and increased cytosolic E‐cadherin. Western blotting of whole cell lysates demonstrated that Hp challenge induced cleavage of the 120kDa full‐length E‐cadherin to a 100kDa form. Calpain inhibition prevented these junctional defects. CONCLUSION: Carcinogenic Hp induces isoform‐specific calpain activation which results in E‐cadherin truncation in non‐tumorigenic epithelial cells. This work is funded by CIHR.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.831

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.238
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2008
Admission routes2
Has abstractyes

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